A Brief Analysis of the Self-correction Model——from the View of Linking Theory

Based on the theory of the post method pedagogy and the teaching practice，this paper proposes a new teaching model，the self-correction model，and explains it from the point of view of linking theory.

Analysis of the Self-correction Model——from the view of cognitive psychology

In view of the learners Chinglish,this paper puts forward a new teaching model-the Self-correction Model and makes an analysis of it from the view of cognitive psychology.

Self-adaptive correction of clutch control with proportional valve

A new method for self-adaptive correction of the clutch proportional valve by Lyapunov stability function is proposed. Compared with displacement curve of hydraulic control cylinder under standard load, pulse width modulation （PWM） voltage imposed on clutch proportional valve is cor- rected according to the error to improve the consistency of the clutch control system in the process of clutch engagement. Computer simulations are conducted with this self-adaptive correction method by establishing the clutch control system model and results indicate that the principle of the method is correct. The flow rate variation obtains effective restraint which is caused by clutch control system characteristic of different vehicle under constant PWM voltage.

The Methodology of Self-correction on College Students' English Composition and Results

Based on the related theories of Corpus Linguistics and Error Analysis, this paper is aimed to evaluate the effect of selfcorrection through the educational experiment, with non-English major students using web corpus to identify and self-correct their errors as the subjects. To help art students improve their English writing skills, the search engine of and sentence database of online dictionary of the internet corpus are effective and helpful.

How Can Correction Improve Students' Writing

Writing is one of the required abilities in learning a foreign language and it is the most difficult to master as well. Though nearly all the students have learned English for at least six years, when it comes to writing, they are incompetent for it and mistakes appear in their writing time and again. This article means to analyze the reasons of mistakes and attempts to offer some possible means to correct them. Thus students’ writing can be improved.

On Employing the Appropriate Error Correction Strategies to Promote Students'English learning in TEFL

Learning English as a foreign language is a step-by-step process, during which Chinese students will inevitably make some errors. It is important for teachers to know when and how to correct students' errors. By employing error correction skillfully and appropriately, we can develop the students' self-confidence and self-esteem. This paper mainly discusses the interaction and collaboration learning in task-based learning, which has been proved to be scientific and effective, is advocated in English learning and teaching. Accordingly, the self-correction with teacher 's help and the peer correction are the most effective ways for students' error correction.

Self-correcting wavelet neural network control of continuous rotary electro-hydraulic servo motor

In allusion to the problem of friction,leakage,vibration and noise existing in continuous rotary motor electro-hydraulic servo system,highly nonlinearity and uncertainties affecting the system performance,based on the transfer function of electro-hydraulic servo system,a kind of Pol-Ind friction model is proposed.The parameters of Pol-Ind friction model are identified and the accurate mathematical model of friction torque is obtained by experiment.The self-correcting wavelet neural network(WNN)controller is proposed,and Adam optimization algorithm is used to perform gradient optimization on scale factor and displacement factor in wavelet basis function,so as to improve the speed and precision of parameter optimization.Through comparative simulation analysis,it is clearly that the self-correcting WNN controller can effectively improve the frequency response and tracking accuracy of continuous rotary motor electro-hydraulic servo system.

Study on element detection and its correction in iron ore concentrate based on a prompt gamma-neutron activation analysis system

A prompt gamma-neutron activation analysis(PGNAA) system was developed to detect the iron content of iron ore concentrate. Because of the self-absorption effect of gamma-rays and neutrons, and the interference of chlorine in the neutron field, the linear relationship between the iron analytical coefficient and total iron content was poor, increasing the error in the quantitative analysis. To solve this problem, gamma-ray self-absorption compensation and a neutron field correction algorithm were proposed, and the experimental results have been corrected using this algorithm. The results show that the linear relationship between the iron analytical coefficient and total iron content was considerably improved after the correction. The linear correlation coefficients reached 0.99 or more.

A Physical Insight into the Origin of the Corrections to the Magnetic Moment of Free and Bound Electron

The main goal of the present work is a unitary approach of the physical origin of the corrections to the magnetic moment of free and bound electron. Based on this approach, estimations of lowest order corrections were easily obtained. In the non-relativistic limit, the Dirac electron appears as a distribution of charge and current extended over a region of linear dimension of the order of Compton wavelength, which generates its magnetic moment. The e.m. mass (self-energy) of electron outside this region does not participate to this internal dynamics, and consequently does not contribute to the mass term in the formula of the magnetic moment. This is the physical origin of the small increase of the magnetic moment of free electron compared to the value given by Dirac equation. We give arguments that this physical interpretation is self-consistent with the QED approach. The bound electron being localized, it has kinetic energy which means a mass increase from a relativistic point of view, which determines a magnetic moment decrease (relativistic Breit correction). On the other hand, the e.m. mass of electron decreases at the formation of the bound state due to coulomb interaction with the nucleus. We estimated this e.m. mass decrease of bound electron only in its internal dynamics region, and from it the corresponding increase of the magnetic moment (QED correction). The corrections to the mass value are at the origin of the lowest order corrections to the magnetic moment of free and bound electron.

Self-dual Codes Defined on Factor Graphs

A definition of a self-dual code on graph and a procedure based on factor graphs to judge a self-dual code were presented. Three contributions of this paper were described as follows. To begin with, transform T_ R→L were defined, which was the basis of self-dual codes defined on graphs and played a key role in the paper. The second were that a self-dual code could be defined on factor graph, which was much different from conventional algebraic method. The third was that a factor graph approach to judge a self-dual code was illustrated, which took advantage of duality properties of factor graphs and our proposed transform T_ R→L to offer a convenient and geometrically intuitive process to judge a self-dual code.

旋变二次谐波测角误差自校正

旋变幅值误差和正交误差在角速度频谱上表现为旋变转频的二次谐波,是旋变测角误差的主要来源,影响伺服系统角速度控制精度和稳定度。本文提出了一种基于特征频率参考的二次谐波误差自校正方法。首先,分析旋变测角误差产生的机理,获知其幅值误差和正交误差的互不相关性,并证明对旋变输出信号进行幅值调整和相位差调整可实现二次谐波误差校正。然后,在旋变和旋变数字信号转换器(Resolver-to-Digital Converter,RDC)之间设计基于比例放大的幅值校正器和基于交叉调节的相角校正器。最后,根据误差信号在线性控制系统中特征频率不变的特性,对伺服系统进行匀速控制,以角速度频谱中二次谐波频率的幅值为参考基准,分别调整幅值校正器和相角校正器,校正二次谐波误差。实验结果表明:本方法可将旋变二次谐波测角误差幅值降低78.5%,伺服系统速率波动量降低40.5%。本方法实现了旋变二次谐波测角误差的自校正,大幅提升了旋变的测角精度和伺服系统的转速控制稳定度。

同伴纠正性反馈效果研究综述

反馈(feedback)最早来源于控制论。在教育教学中,有效反馈可以促进学习者的学习与发展。反馈可分为正反馈和负反馈,其中纠正性反馈属于负反馈的重要分支。纠正性反馈根据不同来源可分为教师纠正性反馈、同伴纠正性反馈和自我纠正性反馈。文中聚焦同伴纠正性反馈,将自我效能感、社会文化和认知互动作为理论支撑,以学习者投入这一概念为切入点,回顾并总结同伴纠正性反馈对学习者情感、行为和认知投入三个维度的有效性:学习者因为对同伴纠正性反馈有兴趣,进而提高其学习自信、增强学习内在动机;反馈者和被反馈者均通过同伴纠正性反馈提升个人学习能力;学习者通过识别修正错误、监控学习过程,促进意义创建和知识构建,进而提升个人认知水平。最后概括并归纳同伴纠正性反馈的局限性,对未来的研究方向提供建议。

十字滑台式多维不倒杆自主纠偏实验装置设计

为了让学生理解海洋风力发机不倒杆结构,该文设计了基于十字滑台的多维不倒杆自主纠偏实验装置,上位机测量并绘制不倒杆在三维空间中的角度、角速度和角加速度的变化,探究抵御外部干扰的相关物理量。通过研究不同受风力面积、不同材料的杆的平衡性,得出选用密度较大、迎风面积小的杆可较好抵御外界干扰。该装置的灵敏度较高,能够作为应用物理和新能源等专业的实验教学装备,有助于深入理解新能源领域的控制理论,提高学生动手能力。

丘陵山地柑橘果园机器人自主导航与精确控制系统设计与试验

为实现丘陵山地柑橘果园机器人的自主导航,设计了一种基于激光雷达和惯性传感器的果园自主导航系统.使用激光SLAM融合多传感器所获数据,并利用误差状态卡尔曼滤波器进行位姿优化,从而构建果园的三维全局点云地图.对全局地图进行分析和处理,确定机器人的安全行驶区域,并应用基于机器人运动学多约束条件的三次非均匀B样条曲线轨迹优化算法实现路径规划,使用NDT-ICP算法实现机器人在全局地图中的定位.为适应丘陵山地果园地形复杂性,提出了一种基于预瞄跟踪的自校正增量PID控制策略,利用递归最小二乘法实时调整PID参数,并在机器人履带式行走机构上进行了系统整合测试.试验结果表明,误差状态卡尔曼滤波器优化后的地图精度与优化前相比有明显提升.机器人以1.2 m/s速度行驶时,导航控制系统的直线行驶平均位置偏差和航向角偏差分别为0.18 m和4.2°,转弯行驶平均位置偏差和航向角偏差分别为0.38 m和16.7°,可满足丘陵山地柑橘果园智能农机自主导航作业需求.

赏识教育、自我正面偏见及其社会后果研究

文章从自我正面偏见这一人的本能心理状态出发,对其基本概念和相关理论进行系统梳理,并以此为视角对赏识教育进行了探讨。赏识教育具有发掘学生优势、引导其进行“自我实现”等积极影响,但要关注赏识教育对正面自我偏见的放大作用:自我认知出现偏差,放大个人能力而忽略自身所存在问题,可能使问题被掩盖而非得以解决。在矫正自我认知偏差时,可使用小组工作方法,对其中情况严重者可采用个案方法。在具体实施时,社会工作者应担当“反馈者”角色,通过适当的表扬和批评相结合的方式,给予案主尽可能客观的反馈,且通过暗喻等方式来侧面指出案主的认知偏差。这样既可以避免直接指出认知偏差所引发的不良后果,又能引发案主自我反思与行为修正。

融合自监督的协同注意图学习会话推荐

基于图神经网络的会话推荐目的是利用给定的匿名交互序列预测用户下次将交互的潜在项目.为解决图神经网络方法中存在的过度平滑问题和现有的会话推荐忽略了数据稀疏性影响,以及因使用交叉熵而产生严重的过拟合问题.本文提出了一种融合自监督的协同注意图学习会话推荐模型(SI-CAGL).首先SI-CAGL在学习到会话中项目的准确表示,其次使用协同注意图学习与修改自注意力机制的方法进行自监督学习,最后使用修正边缘平滑函数与归一化相结合的方法进行预测.在两个真实数据集上进行多次实验,与先进基线模型相比,SI-CAGL在Diginetica上Recall@20和MRR@20至少提升了3.28%和3.38%,在Gowalla上Recall@20和MRR@20至少提升了2.88%和2.13%,推荐性能有明显提升.

融合自注意力与残差神经网络的3D打印激光在机测量误差修正方法

激光测量能够实现高效地非接触实时测量,被广泛应用于3D打印领域,但激光测量容易受测量条件、外部环境等多种因素的干扰,这些因素错综复杂,难以量化分析。为此,结合直射式激光三角测量原理,在分析测量精度影响因素的基础上,提出了一种基于融合自注意力和残差神经网络的3D打印在机测量误差修正方法。首先,将影响测量精度的因素作为输入变量,采集激光测量值,得到样本数据集;然后利用残差网络提取出样本数据的深层次特征,并引入自注意力机制建立影响因素之间的联系,得到带权重的提取特征;再通过全连接网络对带权重特征进行学习,得到测量误差的预测值,基于该预测值完成对测量误差的修正。自主搭建了一套激光在机测量系统,采用红、绿、紫3种同材质彩色卡纸进行实验验证。结果表明,所提的方法与卷积神经网络和自注意力神经网络相比,均方误差、均方根误差和平均绝对误差均最小,稳定性最好,修正结果最接近真实值;对激光测量结果进行校正后,使其误差由原来的±28μm减小到±9μm以下,显著提高了3D打印激光在机测量的精度和稳定性。

压差式流量计误差自动化修正算法研究

针对在多干扰源扰动下压差式流量计测量结果面临输出不稳、误差较大的问题,提出多源扰动下的压差式流量计误差自动化修正算法。考虑全补偿气体可膨胀性系数、压缩系数、密度系数和流出系数等因素,研究压差式流量计误差自动化修正算法。利用均值滤波滤除信号中的高斯噪声,结合一阶滞后滤波优化卡尔曼滤波算法,修正多源扰动误差。引入自组织算法和Volterra神经网络进一步改进卡尔曼滤波算法,并优化卡尔曼滤波算法的先验模型参数,以实现多源扰动误差的自动化修正。试验结果表明,经该算法控制后:当参考流量为900 m^(3)/h时,示值误差绝对值为0.203%;当参考流量为700 m^(3)/h时,流量计重复性为0.06%。该研究可以有效识别并修正由于多源扰动造成的流量异常值,且流量测量精度较高。

一种大视场红外相机的畸变校正方法

本文针对大视场红外相机的畸变校正过程复杂的问题,提出了一种新的畸变校正方法。首先,选择单参数除法模型(division model,DM)作为相机畸变模型,使用改进的加速特征稳健算法(speed-up robust features,SURF)自动获取两幅有相同场景的畸变红外图像的特征点对,然后利用九点非迭代算法和核密度估计方法获取图像的畸变参数,最后根据求得的畸变参数使用基于边缘保持的灰度插值方法对图像进行畸变校正。在整个过程中,不需要预先知道相机的参数和场景信息,通过输入两幅具有相同场景的图像,完成畸变校正,为大视场红外相机的畸变校正提供了一种新的解决方法。实验结果表明,使用该方法对大视场红外相机进行畸变校正具有可行性和鲁棒性。

准光学薄态下自吸收校正的铜锌合金CF-LIBS定量分析研究

免定标(CF)方法是一种面向激光诱导击穿光谱(LIBS)的定量分析方法,可在无定标曲线的情况下直接完成探测元素的含量计算,但传统CF-LIBS的实际定量结果往往与真实值存在一定差距。为了提高CF-LIBS定量分析结果的精度,本文使用三种不同质量比的标准铜锌合金靶进行CF-LIBS定量分析计算,通过“准光学薄态逼近”和“谱线自吸收校正”,成功实现了合金靶中Zn/Cu质量比的准确定量。在具体实施过程中,首先通过调节“激光能量”和“探测延时”逼近元素双线比的理论强度值,以此寻获等离子体的“准光学薄”状态。在此基础上,根据元素谱线计算相应的自吸收系数,依据该系数进行LIBS光谱强度的修正,以此完成LIBS谱线的自吸收校正。两部分工作的有效结合,显著提升了CF-LIBS定量的分析精度,结果显示测算的铜锌元素质量比与实际含量非常吻合,三种标准铜锌合金靶的定量误差均小于3.5%,证明了本文所提出方法的有效性和合理性,未来有望在其他领域获得应用验证。